Powerful GPU Acceleration for Dell MX7000 to tackle modern workloads, including:
- AI model development, training and validation
- Simulation and Modelling
- Data analytics and Scientific research
- Virtual Desktop Infrastructure
Powerful GPU accelerators to handle demanding and evolving workloads
CoreModule MX with NVIDIA L4 Specifications | |
Form factor | Fabric Expander Module for Dell MX7000 chassis |
Maximum Configuration | 16x NVIDIA L4 GPUs per MX7000 chassis. 384GB total GPU memory with optional ECC |
Minimum configuration | 2x NVIDIA L4 GPUs, one per Compute Sled. |
Compute Sled connectivity | Two NVIDIA L4 GPUs per Compute Sled, PCIe Gen 4 direct connection using Amulet Hotkey custom MX Mezzanine Card |
CPU to GPU Bandwidth | PCIe Gen 4, 8 lanes, 16 GB/s bi-directional bandwidth per GPU. |
Compute Sled Requirements | MX760c compute sled with Dual 4th or 5th Gen Intel Xeon CPUs |
MX7000 Fabric | Fabric B1/B2 or both. Fits completely within the chassis. |
Power and Cooling | Uses MX7000 chassis power and cooling via compute sled Mezzanine Card |
Rack space | No additional rack space required, CoreModule MX 2.0 is contained completely within the 7U MX7000 chassis. |
Transform the capabilities of the MX7000 platform by adding GPU acceleration.
CoreModle 2.0 with NVIDIA L4 provides a huge performance increase across a range of workloads.
Innovative Design
Designed and engineered to fit entirely within the PowerEdge MX7000 Chassis to maintain maximum density, the Amulet Hotkey CoreModule MX brings GPU acceleration to the platform without any increase in rack space, power or external cabling
Direct Connection
The CoreModule MX provides a direct PCIe connection from the CPU in the compute sled to the GPUs without any PCIe switches for maximum bandwidth and minimum latency. There are no additional drivers, licensing or configuration required for system setup and operation.
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